Open Access
Issue |
E3S Web Conf.
Volume 136, 2019
2019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
|
|
---|---|---|
Article Number | 01028 | |
Number of page(s) | 5 | |
Section | Ultra-Low Energy Consumption Building Technology | |
DOI | https://doi.org/10.1051/e3sconf/201913601028 | |
Published online | 10 December 2019 |
- Yu, B., Xiao, Y., Liu, S. Cost Estimation Analysis of Transmission and Distribution Engineering Based on PSO-ELM Algorithm[J]. Information Technology, 2019, 43(04):148-151+156. [Google Scholar]
- Wang, X. Research on Cost Estimation Model of Power Network Overhead Line Engineering[J]. China Power Enterprise Management, 2018(24): 76-77. [Google Scholar]
- Xu, L. Research on engineering cost prediction model of uhv transmission lines -based on factor analysis and BP neural network [J]. Industrial technology economics, 2017, 36(07):18-26. [Google Scholar]
- Geng, P., Liu, C., Yang, G. Establishment and Implementation of Transmission Engineering Cost Prediction Model Based on Data Mining Technology[J]. Modern Electronic Technique, 2018, 41(04):157-160. [Google Scholar]
- Kong, J., Cao, X. Research on cost prediction model of transmission and distribution engineering based on Support Vector Machine[J]. Modern Electronic Technology, 2018, 41(04):127-130. [Google Scholar]
- Hao, K. Study on the Fast Prediction Method of Construction Engineering Cost Based on Fuzzy Least Squares Support Vector Machine[J]. Railway Engineering Cost Management, 2012, 27(03):1-4+18. [Google Scholar]
- Liu, Y. Optimization of wind power time series prediction model based on two-parameter least squares support vector machine (TPA-LSSVM)[J]. Journal of Beijing University of Chemical Technology(Natural Science Edition), 2019, 46(02): 97-102. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.